Machine learning and evolutionary techniques in interplanetary trajectory design D Izzo, CI Sprague, DV Tailor Modeling and Optimization in Space Engineering: State of the Art and New …, 2019 | 94 | 2019 |
Learning the optimal state-feedback via supervised imitation learning D Tailor, D Izzo Astrodynamics 3 (4), 361-374, 2019 | 34 | 2019 |
On the stability analysis of deep neural network representations of an optimal state feedback D Izzo, D Tailor, T Vasileiou IEEE Transactions on Aerospace and Electronic Systems 57 (1), 145-154, 2020 | 26 | 2020 |
Learning to Defer to a Population: A Meta-Learning Approach D Tailor, A Patra, R Verma, P Manggala, E Nalisnick International Conference on Artificial Intelligence and Statistics, 3475-3483, 2024 | 1 | 2024 |
Exploiting inferential structure in neural processes D Tailor, ME Khan, E Nalisnick Uncertainty in Artificial Intelligence, 2089-2098, 2023 | 1 | 2023 |
The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data P Nickl, L Xu, D Tailor, T Möllenhoff, ME Khan | 1 | 2023 |
Unconscious biases in neural populations coding multiple stimuli SW Keemink, DV Tailor, MCW van Rossum Neural Computation 30 (12), 3168-3188, 2018 | 1 | 2018 |